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Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation.

, , , , and . CoRR, (2023)

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Deep Learning for Pulse Repetition Interval Classification., , and . ICPRAM, page 313-319. SciTePress, (2019)Deep Q-Learning with Multiband Sensing for Dynamic Spectrum Access., , , , and . DySPAN, page 1-5. IEEE, (2018)CNN-Based Projected Gradient Descent for Consistent Image Reconstruction., , , , and . CoRR, (2017)Concentric Permutation Source Codes, , and . CoRR, (2009)Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis., , , , , and . CoRR, (2022)VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography., , , , , , and . CoRR, (2022)Concentric Permutation Source Codes., , and . IEEE Trans. Commun., 58 (11): 3154-3164 (2010)VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs., , , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 291-301. Springer, (2021)Subspace methods for computational relighting., , and . Computational Imaging, volume 8657 of SPIE Proceedings, page 865703. IS&T/SPIE, (2013)On concentric spherical codes and permutation codes with multiple initial codewords., , and . ISIT, page 2038-2042. IEEE, (2009)